TY  - GEN
N2  - This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book's main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access.
DO  - 10.1007/978-981-10-2543-3
DO  - doi
AB  - This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book's main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access.
T1  - Predictive Data Mining Models /
AU  - Olson, David L.,
AU  - Wu, Desheng,
CN  - HF5548.125-HF5548.6
CN  - QA76.9.D343
ID  - 1358346
KW  - Data mining.
KW  - Business
KW  - Business forecasting.
KW  - Business.
KW  - Big data.
KW  - Risk management.
SN  - 9789811025433
SN  - 9811025436
TI  - Predictive Data Mining Models /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-10-2543-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-10-2543-3
ER  -